ArticleFrontiers in neuroscience2020
A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Topology-preserving, diameter-specific framework for conjunctival vessel segmentation and tortuosity analysis in diabetes.Scientific reports · 2026Article
- Design Rules for Robust Coronary Artery Segmentation: A Systematic Analysis of Dataset Size, Windowing, Architectures, and Vessel Geometry.Annals of biomedical engineering · 2026Article
- Accurate and fully automated diameter measurements of Circle of Willis arteries on MRA imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025Article
- Mapping vascular network architecture in primate brain using ferumoxytol-weighted laminar MRI.eLife · 2025Article
- Non-Invasive Photoacoustic Cerebrovascular Monitoring of Early-Stage Ischemic Strokes In Vivo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Quantification of enlarged deep medullary vein volumes in Sturge-Weber syndrome.Quantitative imaging in medicine and surgery · 2024Article
- Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model.IEEE open journal of engineering in medicine and biology · 2024Article
- Vascular Cross-Section, Rather Than Tortuosity, Can Classify First-Pass Outcome of Mechanical Thrombectomy for Ischemic Stroke.Stroke (Hoboken, N.J.) · 2023Article
- U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets.PloS one · 2023Article
- Hessian filter-assisted full diameter at half maximum (FDHM) segmentation and quantification method for optical-resolution photoacoustic microscopy.Biomedical optics express · 2022Article
- Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approach.Scientific reports · 2022Article
- Relationship between 7T MR-angiography features of vascular injury and cognitive decline in young brain tumor patients treated with radiation therapy.Journal of neuro-oncology · 2021Article
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6 authors.
Funding
Abstract
purposePrecise quantification of cerebral arteries can help with differentiation and prognostication of cerebrovascular disease. Existing image processing and segmentation algorithms for magnetic resonance angiography (MRA) are limited to the analysis of either 2D maximum intensity projection images or the entire 3D volume. The goal of this study was to develop a fully automated, hybrid 2D-3D method for robust segmentation of arteries and accurate quantification of vessel radii using MRA at varying projection thicknesses.
methodsA novel algorithm that employs an adaptive Frangi filter for segmentation of vessels followed by estimation of vessel radii is presented. The method was evaluated on MRA datasets and corresponding manual segmentations from three healthy subjects for various projection thicknesses. In addition, the vessel metrics were computed in four additional subjects. Three synthetically generated angiographic datasets resembling brain vasculature were also evaluated under different noise levels. Dice similarity coefficient, Jaccard Index, F-score, and concordance correlation coefficient were used to measure the segmentation accuracy of manual versus automatic segmentation.
resultsOur new adaptive filter rendered accurate representations of vessels, maintained accurate vessel radii, and corresponded better to manual segmentation at different projection thicknesses than prior methods. Validation with synthetic datasets under low contrast and noisy conditions revealed accurate quantification of vessels without distortions.
conclusionWe have demonstrated a method for automatic segmentation of vascular trees and the subsequent generation of a vessel radii map. This novel technique can be applied to analyze arterial structures in healthy and diseased populations and improve the characterization of vascular integrity.
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